Enable job alerts via email!
Boost your interview chances
Create a job specific, tailored resume for higher success rate.
An established industry player is seeking a Risk Adjustment Market Support Manager to lead a team of data analysts in enhancing risk score accuracy across Medicare Advantage, ACA, and Medicaid programs. This pivotal role involves overseeing the development of forecasting tools and collaborating with various teams to ensure data integrity and quality. The ideal candidate will possess strong skills in financial modeling, SQL, and data visualization, and will be instrumental in driving performance improvements through actionable analytics. Join a forward-thinking organization where your expertise can make a significant impact on healthcare analytics.
As part of the Risk Adjustment Data & Analytics (RADA) department, the Risk Adjustment Market Support manager leads a team of data analysts supporting risk score accuracy, forecasting, and driving financial performance across Medicare Advantage, ACA, and Medicaid programs.
This position will oversee the build-out of a robust forecasting process and tool that will allow for more timely and precise Market risk score forecasts that can be shared with Market and Program Leadership. Utilizing key performance indicators and underlying analytics, this position will help lead Market-specific performance monitoring and sharing of actionable analytics with Market leaders.
In addition, the Market Support manager oversees annual work in support of the CMS Medicare Bid, partnering with Actuarial services and National Medicare Finance to ensure risk score inputs and forecasts are accurate. The role involves collaboration across teams to build analytical and reporting capabilities supporting government program objectives. This role requires deep experience in financial modeling, forecasting, technical coding (SQL, Python, R), and familiarity with data science disciplines like machine learning, predictive analytics, and data visualization.
This manager-level position is responsible for managing strategic data-informed decisions, data collection, and data preparation for analytics. It involves executing creative data analytic approaches, developing and automating business and reporting solutions, and interpreting data analysis.